Olayiwola Oladiran, Adesola Sunmoni, Saheed Ajayi, Jiarong Guo and Muhammad Azeem Abbas
This paper examines the categories of property attributes that are important to UK university students in their online accommodation search. It also analyses the volume of…
Abstract
Purpose
This paper examines the categories of property attributes that are important to UK university students in their online accommodation search. It also analyses the volume of information displayed regarding the property attributes and explores the influence of some of the information provided on the attractiveness and by extension, the booking potential of the property.
Design/methodology/approach
The authors use data from an online student accommodation listing platform – student.com – which contain tangible and non-tangible property attributes, and the data are analysed using a hedonic regression model.
Findings
The results show that purpose-built student accommodation's (PBSA) tangible and intangible attributes are important to students in their online accommodation search, although, these attributes vary in impact. The study also reveals that failure to display key information of a PBSA may reduce the attractiveness of the property.
Originality/value
The empirical evidence on student accommodation ex ante preferences and choices is limited, particularly as it relates to online accommodation search in a UK context. The authors' approach to identify the application of the search theory to the student accommodation search process is particularly unique.
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Shuang Yang, Jiarong Tang, Jian Cai and Gongxing Guo
Few extant studies have focused on digital rituals and investigated the relationship between them and customer citizenship behavior in the context of online brand communities…
Abstract
Purpose
Few extant studies have focused on digital rituals and investigated the relationship between them and customer citizenship behavior in the context of online brand communities (OBCs). This study aims to examine the sequential mediation mechanism of emotional energy and spiritual brand identification under interaction ritual theory and identifies membership prototypicality as the moderator.
Design/methodology/approach
An online investigation of 515 OBC users was conducted to gather data, and structural equation modeling was applied to test the hypotheses.
Findings
The empirical results revealed that OBC rituals were positively related to customer citizenship behavior. Emotional energy and spiritual brand identification could play mediating roles in the relationship between OBC rituals and customer citizenship behavior. Furthermore, there existed a sequential mediation mechanism with emotional energy as the first mediator and spiritual brand identification as the second. The effect of OBC rituals on emotional energy was more significant for peripheral members than prototypical members.
Practical implications
Managers of OBCs should conduct various ritualistic strategies to stimulate users to perform customer citizenship behaviors. Discrete ritualized activities should be intended for members of different prototypicalities.
Originality/value
This study provides a profound insight on how OBC rituals foster customer citizenship behavior and is among the first to explore such a relationship. It also investigates the sequential mediation mechanism, thus broadening the research on the influencing processes of OBC rituals on customer citizenship behavior.
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Zihao Jiang, Jiarong Shi and Zhiying Liu
Firms in emerging economies are generally at a disadvantage in terms of resources, which may limit their digital transformation. The Chinese government has designed and…
Abstract
Purpose
Firms in emerging economies are generally at a disadvantage in terms of resources, which may limit their digital transformation. The Chinese government has designed and promulgated a series of wind power policies from the perspectives of support and regulation. The former provides scarce resources for enterprises and thus alleviating financial constraints. While the latter increases the demands for advanced technologies, thereby triggering resource bricolages. This study aims to clarify the impact of industrial policy on the digital transformation of the Chinese wind power industry, and the role of financing constraint and resource bricolage in the above relationship.
Design/methodology/approach
Based on the data of listed companies in the Chinese wind power industry from 2006 to 2021, this study clarifies the impact and mechanism of industrial policy on firm digital transformation with fixed effect regression models.
Findings
Empirical results indicate that both supportive and regulatory policies are the cornerstone of the digital transformation of the Chinese wind power industry. Financial constraint and resource bricolage, respectively, mediate the impact of supportive and regulatory policies. However, the mix of supportive and regulatory policies inhibits digital transformation. Moreover, industrial policies are more effective for the digital transformation of state-owned enterprises, as well as enterprises in economically underdeveloped regions.
Research limitations/implications
This study investigates the path of government intervention driving firm digital transformation from the resource-related perspective (i.e. financial constraint and resource bricolage), and its analytical framework can be extended based on other theories. The combined effects of cross-sectoral policies (e.g. wind power policy and digital infrastructure policy) can be further assessed. The marginal net benefit of government intervention can be calculated to determine whether it is worthwhile.
Practical implications
This study emphasizes the necessity of government intervention in the digital transformation of enterprises in emerging economies. The governments should align the policy targets, clarify policy recipients and modify policy process of different categories of industrial policies to optimize the effectiveness of policy mix. Given that the effectiveness of government intervention varies among different categories of enterprises, the competent agencies should design and promulgate differentiated industrial policies based on the heterogeneity of firms to improve the effectiveness and efficiency of industrial policies.
Originality/value
This is one of the earliest explorations of industrial policies’ effect on the digital transformation of the renewable energy sector in emerging economies, providing new evidence for institutional theory. Meanwhile, this study introduces financial constraint and resource bricolage into the research framework and attempts to uncover the mechanism of industrial policy driving the digital transformation of enterprises in emerging economies. Besides, to expand the understanding of the complex industrial policy system, this study assesses the effectiveness of the industrial policy mix.
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Meijuan Li, Jiarong Zhang and Zijie Shen
Three-parameter interval grey numbers (TPIGNs) have been extensively studied as an extended form of interval numbers. However, most existing TPIGN multi-attribute decision-making…
Abstract
Purpose
Three-parameter interval grey numbers (TPIGNs) have been extensively studied as an extended form of interval numbers. However, most existing TPIGN multi-attribute decision-making methods only consider the similarity of positions, ignore the similarity of developmental directions and focus primarily on static evaluation. To address these limitations, in this study, the authors propose a dynamic technique for order preference by similarity to an ideal solution (TOPSIS) based on modified Jaccard similarity and angle similarity for TPIGNs.
Design/methodology/approach
First, the authors extend Jaccard similarity to a TPIGN environment to represent positional similarity. A simple example is provided to illustrate the limitations of the traditional Jaccard similarity. Then, the authors introduce an angle similarity measure to represent developmental directional similarity. Finally, a dynamic TOPSIS model is constructed by incorporating time-series data into conventional two-dimensional static data. Stage weights are obtained by an objective function designed to maximize the amount and minimize the fluctuation of decision information. A quadratic weighting method is adopted to derive the overall evaluation value of alternatives.
Findings
To evaluate the effectiveness of the proposed method, this study takes the pre-assessment of ice disaster and the selection of cooperative enterprises as examples. The authors then provide the results of comparative and sensitivity analyses, which demonstrate the effectiveness and flexibility of the proposed method.
Originality/value
The proposed TOPSIS method in a TPIGN environment can take a more holistic and dynamic perspective for decision-making, which helps mitigate the limitations of single-perspective or static evaluations.